Wraps JetBrains dotMemory CLI with a heuristic rule engine to surface concrete memory issues in .NET applications. You get tools to capture snapshots, compare before/after memory states, and run 10 built-in rules that flag event handler leaks, undisposed IDisposables, LOH fragmentation, and closure retention issues. Automatically downloads the dotMemory CLI on first use for Windows, Linux, and macOS, or falls back to DOTMEMORY_PATH if you're on an unsupported platform. Findings come back with severity levels and AI-actionable suggestions. Reach for this when you suspect a leak or memory bloat in a running .NET process and want Claude to interpret profiler output without manually digging through dotMemory workspaces.
On-demand .NET memory profiling with concrete, AI-actionable code fix suggestions — wraps JetBrains dotMemory with a heuristic-based rule engine.
A hosted deployment is available on Fronteir AI.
Add to your MCP settings (.vscode/mcp.json or VS settings):
{
"servers": {
"memorylens": {
"type": "stdio",
"command": "dnx",
"args": ["MemoryLens.Mcp", "--yes"]
}
}
}
claude install gh:MarcelRoozekrans/memorylens-mcp
dotnet tool install -g MemoryLens.Mcp
MemoryLens MCP automatically downloads and caches the JetBrains dotMemory CLI on first use via the ensure_dotmemory tool — no manual installation required on supported platforms.
| Platform | Architecture |
|---|---|
| Windows | x64, x86, ARM64 |
| Linux (glibc) | x64, ARM64, ARM |
| Linux (musl) | x64, ARM64 |
| macOS | x64 (Intel), ARM64 (Apple Silicon) |
Downloaded binaries are cached at ~/.memorylens/tools/dotmemory/{version}/. Old versions are not auto-removed — delete the directory manually to free disk space.
Platforms not listed above (e.g. FreeBSD, Linux x86) cannot use auto-download. Set DOTMEMORY_PATH to point to an existing dotMemory CLI executable:
export DOTMEMORY_PATH="/path/to/dotMemory.sh" # Linux/macOS
set DOTMEMORY_PATH=C:\path\to\dotMemory.exe # Windows
Find dotMemory CLI in JetBrains Toolbox:
~/.local/share/JetBrains/Toolbox/apps/rider/tools/profiler/dotMemory.sh%LOCALAPPDATA%\JetBrains\Toolbox\apps\rider\tools\profiler\dotMemory.exeIf auto-download is unavailable, MemoryLens MCP falls back through these discovery modes in order:
DOTMEMORY_PATH environment variable — explicit path to the CLI executabledotMemory.sh / dotMemory (Linux/macOS) or dotMemory.exe (Windows)dotnet tool install dotnet-dotmemory --localdotnet tool install -g dotnet-dotmemory (legacy fallback)| Error | Cause | Fix |
|---|---|---|
Platform '...' is not supported | Unsupported OS/arch | Set DOTMEMORY_PATH |
| Network/download failure | No internet / NuGet unreachable | Set DOTMEMORY_PATH or retry ensure_dotmemory |
chmod +x failed | Read-only filesystem | Set DOTMEMORY_PATH to a writable location |
dotMemory CLI not found | All discovery modes failed | Run ensure_dotmemory or set DOTMEMORY_PATH |
| Tool | Description |
|---|---|
ensure_dotmemory | Downloads and verifies the JetBrains dotMemory CLI tool is available |
list_processes | Lists running .NET processes available for profiling |
snapshot | Captures a single memory snapshot of a target process |
compare_snapshots | Captures two snapshots with configurable delay and compares them |
analyze | Runs the rule engine against a captured snapshot and returns findings |
get_rules | Lists all available analysis rules with their metadata |
| ID | Severity | Category | Description |
|---|---|---|---|
| ML001 | critical | leak | Event handler leak detected |
| ML002 | critical | leak | Static collection growing unbounded |
| ML003 | high | leak | Disposable object not disposed |
| ML004 | high | fragmentation | Large Object Heap fragmentation |
| ML005 | medium | retention | Object retained longer than expected |
| ML006 | medium | allocation | Excessive allocations in hot path |
| ML007 | medium | retention | Closure retaining unexpected references |
| ML008 | low | allocation | Array/list resizing without capacity hint |
| ML009 | low | pattern | Finalizer without Dispose pattern |
| ML010 | low | pattern | String interning opportunity |
Create a .memorylens.json file in your project root to customize rule behavior:
{
"rules": {
"ML001": { "enabled": true, "severity": "critical" },
"ML002": { "enabled": true, "severity": "critical" },
"ML003": { "enabled": true, "severity": "high" },
"ML004": { "enabled": true, "severity": "high" },
"ML005": { "enabled": true, "severity": "medium" },
"ML006": { "enabled": true, "severity": "medium" },
"ML007": { "enabled": true, "severity": "medium" },
"ML008": { "enabled": true, "severity": "low" },
"ML009": { "enabled": true, "severity": "low" },
"ML010": { "enabled": true, "severity": "low" }
}
}
Capture a memory snapshot of a running process to inspect current memory state:
> /memorylens
> Take a snapshot of my running API (PID 12345)
Claude will call ensure_dotmemory, then snapshot with the target PID, then analyze the result and present findings ordered by severity.
Detect memory growth by comparing two snapshots taken with a delay:
> /memorylens
> Check if my app has a memory leak — compare before and after processing 1000 requests
Claude will call compare_snapshots with a configurable wait period, then analyze the diff to identify objects that grew between snapshots.
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